Identification of a PEMFC fractional order model |
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Authors: | Miassa Amira Taleb Olivier Béthoux Emmanuel Godoy |
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Affiliation: | 1. Laboratoire des Signaux et Systmes (L2S, UMR CNRS 8506), CNRS – CentraleSupelec – Universit Paris-Sud, 3, Rue Joliot Curie, 91192, Gif-sur-Yvette, France;2. GeePs, 11, Rue Joliot Curie, Plateau de Moulon, 91192 Gif sur Yvette Cedex, France |
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Abstract: | The present paper addresses the important issue of monitoring the operating state of the Polymer Electrolyte Membrane Fuel Cell systems. The monitoring system takes a model based approach. Its originality lies in adopting a fuel cell fractional order impedance model which permits to provide a better insight into the fuel cell physical phenomena without increasing the number of parameters. This article first validates experimentally the accuracy of the suggested model, using a frequency identification method carried out by nonlinear optimization using single fuel cell experimental impedance spectroscopy data. In a second phase, time series identification is achieved using a least square method specifically designed for fractional order models. The latter method is first verified on registered data which represents a basic tool for offline monitoring. Subsequently it is refined as a recursive tool permitting an online monitoring; it is validated on laboratory test bench. |
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Keywords: | Polymer Electrolyte Membrane Fuel Cell PEMFC fractional order model FC parameter identification Diagnosis |
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